Portfolio Monitoring and Data Professional
Aksia Overview
Aksia is an alternative assets specialist, providing bespoke investment solutions for institutional investors globally. Our business provides clients with advisory, investment management, and research services across private credit, private equity, real assets, and hedge funds. As of December 31, 2025, Aksia advises on over $329bn and manages $35bn of client capital.
Position Overview
Aksia is seeking an individual to manage the collection, organization and analysis of the large scale non-public data the firm maintains on private markets. The successful candidate will own the processing of large volumes of data to identify trends in performance; empowering investment recommendations, portfolio allocation decisions, client reporting, and market-wide analysis.
This position is ideally based in Aksia’s New York or Chicago office, but could be based elsewhere, and will include regular interaction with global colleagues and clients.
Responsibilities:
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- Develop and deploy a cross-functional interactive data analytics platform, providing real-time access to portfolio analytics, proprietary models, and strategic reporting tools
- Maintain proprietary performance attribution and forecasting models that isolate key return drivers and generate actionable insights for portfolio monitoring and risk management
- Design, evolve and refine risk and analytics models and frameworks in partnership with asset class research teams, including anomaly detections, scenario analysis and stress testing
- Partner with Aksia’s clients to understand and address their risk and analytics needs.
- Engage with GPs to enhance data quality and coverage.
- Collaborate with Technology and Data teams to further develop Aksia’s internal databases and analytics platforms on improved usage of collected data
Qualifications:
- 5-8 years of experience across private markets in a portfolio management, data, implementation, or risk leadership role. Private credit experience preferred.
- Demonstrated track record of improving and maintaining a central reporting or data analytics function.
- Hands-on familiarity with private markets data structures and fund mechanics
- Strong command of performance measurement and analytics for private markets (IRR, TVPI, DPI, PME, attribution frameworks, benchmark construction).
- High standards for accuracy, controls, and documentation, with a pragmatic approach to delivering iterative improvements
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